Summary
Jesús Pineda is a physicist-turned-AI leader and co-founder serving as Chief Scientific Officer at IFLAI, with eight years of experience applying deep learning to microscopy and life-sciences image analysis. Currently a PhD researcher at the University of Gothenburg, he develops and evaluates state-of-the-art methods — from generative models to graph neural networks and multi-task learning — for cell localization, tracking, segmentation and characterization. At IFLAI he translates that research into scalable, reproducible image-analysis software for industry, balancing rigorous scientific methods with product-minded engineering. His background in mechatronics and electrical engineering gives him a systems-level view of experiments and instrumentation, which he leverages when building simulation-driven training pipelines like those in DeepTrack. Curious and hands-on, he combines academic rigor with startup pragmatism to rethink AI for microscopy beyond brute-force approaches.
8 years of coding experience
Master's degree, Electrical and Electronics Engineering, Master's degree, Electrical and Electronics Engineering at Universidad Tecnológica de Bolívar
Doctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at University of Gothenburg
English, Spanish